dc.contributor.author |
Asenahabi, Bostley M. |
|
dc.contributor.author |
Ikoha, Peters A. |
|
dc.date.accessioned |
2023-02-09T09:02:53Z |
|
dc.date.available |
2023-02-09T09:02:53Z |
|
dc.date.issued |
2021-11 |
|
dc.identifier.issn |
2321 – 919X |
|
dc.identifier.uri |
http://41.89.205.12/handle/123456789/1843 |
|
dc.description.abstract |
Scientific research is a study that is systematically planned with a view of solving real life problems through creating
new knowledge. A researcher requires to draft questions in line with the constructs and concept being handled. Data
analysis begins with proper analysis of variables and literature to be reviewed. However, field data analysis involves
descriptive, exploratory, inferential, predictive, causal and mechanistic. A desktop literature review of papers published
in accredited research journals, books and popular articles was conducted. This review paper will be of great help to
both occasional and seasonal researchers as they analyze data to solve problems scientifically and generate new
knowledge. |
en_US |
dc.description.sponsorship |
Asenahabi, Bostley M.,
Ikoha, Peters A. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
THE INTERNATIONAL JOURNAL OF SCIENCE & TECHNOLEDGE |
en_US |
dc.subject |
Scientific research, |
en_US |
dc.subject |
descriptive analysis, |
en_US |
dc.subject |
exploratory analysis, |
en_US |
dc.subject |
inferential analysis, |
en_US |
dc.subject |
predictive analysis, |
en_US |
dc.subject |
causal analysis |
en_US |
dc.title |
Scientific Levels of Field Data Analysis in Computing Research |
en_US |
dc.type |
Article |
en_US |